Mobile technology as well as social networking technology plays an important role in communication across internet. A large amount of information is found in noisy contexts as texting and chat lingo have become increasingly considerably in the past decade. This noisy information needs to be normalized into the standard text so that it can be used by the various other tools such as text-to-speech programs. This paper presents a review on Short message Service (SMS) text normalization into plain English text. Term normalization means to translate the SMS text into the plain English text using various techniques like Rule based approach and Statistical machine translation. This is research area of Natural Language Processing (NLP).